Why This Job is Featured on The SaaS Jobs
This Lead Product Engineer role sits at a particularly relevant intersection for modern SaaS: product engineering blended with applied AI delivery. The remit focuses on embedding LLMs and generative models into real enterprise workflows, which reflects where many SaaS platforms are headed as AI moves from feature experiments into core product capability. The emphasis on production-ready automation and integrations with tools like Figma and Adobe signals a workflow SaaS orientation rather than standalone model work.
For a long-term SaaS career, the value is in learning how to take ambiguous customer problems and convert them into repeatable product patterns. Building microservice-based systems, shipping prototypes, and then hardening them into reliable applications mirrors the lifecycle SaaS teams face when scaling new capabilities. Experience balancing experimentation speed with maintainability is broadly transferable across AI-enabled SaaS products, especially those serving enterprise buyers.
This position is best suited to a senior individual contributor who prefers end-to-end ownership and is comfortable working across engineering, design, and customer-facing stakeholders. It will fit someone who enjoys translating real-world constraints into technical architecture decisions, and who wants their work to be measured by adoption in live customer environments rather than internal proofs of concept.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Superside is hiring a Lead Product Engineer to build AI-powered tools that transform how creative work is produced at scale. On our AI Consulting team, you’ll design, prototype, and ship automation solutions that embed AI directly into real creative workflows for enterprise customers.
This is a senior, hands-on IC role. You’ll lead through technical ownership, partnering closely with AI engineers, designers, and consultants to turn emerging AI capabilities into reliable, production-ready tools used by global brands.
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What you’ll do- Own the design and delivery of AI-powered automation tools that streamline creative production for enterprise teams.
- Translate customer problems into scalable technical solutions in close collaboration with consultants and stakeholders.
- Integrate AI models including LLMs, text-to-image, and text-to-voice into production-grade creative tools.
- Architect and build microservice-based systems that balance speed, scalability, and maintainability.
- Prototype rapidly, then harden successful proofs-of-concept into reliable production applications.
- Partner with designers and product managers to deliver seamless integrations with tools like Figma and Adobe.
- Identify repeatable patterns across engagements and help codify them into reusable solutions and platforms.
What you’ll need to succeed - 6+ years of experience building enterprise-grade software in fast-paced environments such as startups, scaleups, or consulting.
- Strong full-stack engineering background, with deep experience in TypeScript; React and/or Python experience is a plus.
- Hands-on experience with AWS services such as S3, RDS, and Lambda.
- Proven experience integrating AI APIs (e.g., OpenAI, Fal.ai) into real production systems.
- Ability to move confidently from experimentation to production, managing trade-offs and constraints.
- Experience integrating with creative tools (Figma APIs, Adobe Suite) is a strong advantage.
- Clear English communication skills and comfort working in customer-facing, cross-functional teams.
- Curiosity and adaptability, with a strong drive to build AI-powered products that reshape creative workflows.
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